TT Lossbeater/Czech Liga Pro
Czech Liga ProMatch #13099197
Played Sep 9Finished
Martin Skakal
Home
2.10
At publish
Won last 2Form at publish
5–5Last 10Won last 2
Final
3 – 1
Set by set
711115117119––
Milan Klement
Away
1.67
At publish
Won last 1Form at publish
7–3Last 10Won last 1
The read, and what happenedsealed at 13:54 and never touched — 55.8% is still 55.8%
Graded at full timeMilan Klement to win
55.8%
55.8%
Sealed before the first serve and never touched. The record is only checkable because of that.
Read
Wrongnot sent
How it is goingMartin Skakal above · Milan Klement below
Set 1 · 7-11
Set 2 · 11-5
Set 3 · 11-7
Set 4 · 11-9
Point 72 set 4, 11-9 — our read held Milan Klement at 55.8%
72 points played in total.
H2H Martin Skakal 1–3 Milan Klement Martin Skakal has won 1 of their 4 meetings.
The pickNothing sent
Sealed 13:54What took a side3 for · 2 against · 1 silent
SignalWhat it readSideVerdictWhy it voted that way
Market
1.67 (56%)
Klement
Wrong
no bar to clear — a priced side always votes
H2H
1-3 in 4
Klement
Wrong
gap of 2 in 4, over the gap of 2
Rating (G2)
Skakal 1701 vs Klement 1642
Skakal
Correct
both rated, 59 points apart — no bar to clear
Form (L5)
Skakal 60% vs Klement 40%
Skakal
Correct
20pp gap, over the 15pp bar
Form (L10)
Skakal 50% vs Klement 70%
Klement
Wrong
20pp gap, over the 15pp bar
Streak
Skakal +2 · Klement +1
—
Too close
neither holds a run of 3 on their own
Not whether we were right, but which read failed. One match proves nothing — the calibration is the aggregate of rows like these, and that aggregate does not exist yet.
This table lists the interface catalogue — the one you already see in ALIGN / CONFLICT. The engine weighs its own subset, and they are not the same set. It says so here instead of hiding it.
3 for, 1 silent — and still no pick. The gate cuts it all the same.
Signal confidence: 56% — Slight lean (leans Klement)
Decision Summary
Why this prediction
- Klement form (40%) is below what odds imply (60%)
Market vs Signals
Market oddsSkakal 2.10 / Klement 1.67
Signal prob.44% / 56%
Edge (Klement)+0.0pp
Czech Liga Pro · #13099197
Skakal2.10
50%won 5 of 10 · last 10
Won last 2
oldest → newest40%takes the first set · 4 of 10
As underdog40% won 24 of 60
Down 0–1, comes back32% 11 of 34
Down 0–2, comes back12% 2 of 17
Klement1.67
70%won 7 of 10 · last 10
oldest → newest
60%takes the first set · 6 of 10
As favourite56% won 116 of 206
Up 2–0, closes it90% 61 of 68
Up 1–0, closes it73% 88 of 121
Head to head
H2H window
The recordacross 4 meetings
HomeSkakal1wins
AwayKlement3wins
1 of 4 to a deciderKlement leads 3–1, and 1 of those 4 went to a fifth set.
First set to match win · in this matchup
HomeSkakaln = 0, below the 3 needed
AwayKlement75%3 of 4
Set by set, in these 4 meetingsevery set carries its own n — a fifth set only exists when the match reaches one
S1Skakal0Klement4n = 4Klement took 4 of 4
S2Skakal1Klement3n = 4Klement took 3 of 4
S3Skakal2Klement2n = 4split evenly
S4Skakal1Klement2n = 3Klement took 2 of 3
S5
Only 1 match reached it — below the 3 needed to publish a rate
How those 4 finishedcounts, and the six add up to 4 — a scoreline is a name, not a code
3–0Straight, home00%
3–1Four sets, home00%
3–2Decider, home125%
2–3Decider, away00%
1–3Four sets, away250%
0–3Straight, away125%
These 4 meetings
MetricSkakalKlementS − KBasisWins13−2in 4 meetingsFirst set04−4of 4Avg pointsper match33.041.5−8.5per matchSweeps01−13–0 or 0–3
Career, not this matchup
MetricSkakalKlementBasisWin rate · lifetime72 / 140 vs 455 / 88251.4%51.6%72 / 140 vs 455 / 882Avg sets wonper match2.02.1per matchAvg pointsper match37.739.2per match
Deep Dive by Market
Each market builds on the overview aboveForecast
History
Forecastthe model predicts this marketHistorythis is what the H2H did — no prediction
Match Winner
KlementSkakal 2.10/Klement 1.67
Read onlywould have missed
What we said
55.8%
Klement · sealed before the serve
What happened
3–1
Skakal won
Recent Results
H2H · no odds on record4
WAug 30 · 23:00M. Skakal—581112113M. Klement—111161082
LJul 19 · 01:30M. Skakal—561481M. Klement—111112113
LApr 11 · 09:30M. Skakal—911971M. Klement—11911113
LApr 11 · 08:30M. Skakal—8440M. Klement—1111113
M. Skakal10
WSep 9 · 19:00M. Skakal1.731111113J. Tazler2.008590WSep 9 · 18:00D. Hofman2.0011118342M. Skakal1.73561111113LAug 31 · 03:30V. Vejvoda1.6511116113M. Skakal2.10691161LAug 31 · 02:30M. Skakal2.1071260V. Vejvoda1.671114113WAug 31 · 01:30M. Sobisek2.1011881182M. Skakal1.67811117113WAug 31 · 24:00M. Skakal1.731111113M. Chlebecek2.007450WAug 30 · 23:00M. Klement1.57111161082M. Skakal2.25581112113LAug 28 · 03:02M. Skakal1.73119811102R. Wagner2.00511114123LAug 28 · 02:00M. Skakal2.2051160J. Louda1.611113113LAug 28 · 01:00M. Skakal2.1011117832S. Kasnik1.67731111113
M. Klement10
LSep 9 · 18:30J. Tazler2.38155911113M. Klement1.53131111792LSep 8 · 09:28S. Kasnik2.2581111113M. Klement1.57116581LSep 8 · 08:00M. Klement1.6131110111S. Kasnik2.2011912133WSep 8 · 07:30K. Schopf2.635580M. Klement1.441111113WSep 8 · 06:00M. Klement2.251111144113M. Sychra1.5744161172WSep 6 · 09:30M. Klement1.651111128113V. Vejvoda2.10138101162WSep 6 · 08:30P. Saleny2.00125781M. Klement1.73101111113WSep 6 · 07:30M. Klement1.6111811113V. Vejvoda2.20511591WSep 6 · 06:30M. Wagner1.5375111192M. Klement2.38111189113LAug 30 · 23:00M. Klement1.57111161082M. Skakal2.25581112113
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